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Learning natural selection from the site frequency spectrum

17th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2013

作者： Ronen, Roy Udpa, Nitin Halperin, Eran Bafna, Vineet Bioinformatics Graduate Program University of California San Diego CA United States International Computer Science Institute Berkeley CA United States Blavatnik School of Computer Science Tel-Aviv University Tel-Aviv Israel Department of Molecular Microbiology and Biotechnology Tel-Aviv University Tel-Aviv Israel Department of Computer Science and Engineering University of California San Diego CA United States

ISBN: (纸本)9783642371943

Genetic adaptation to external stimuli occurs through the combined action of mutation and selection. A central problem in genetics is to identify loci responsive to specific selective pressures. Over the last two decades, many tests have been proposed to identify genomic signatures of natural selection. However, the power of these tests changes unpredictably from one dataset to another, with no single dominant method. We build upon recent work that connects many of these tests in a common framework, by describing how positive selection strongly impacts the observed site frequency spectrum (SFS). Many of the proposed tests quantify the skew in SFS to predict selection. Here, we show that the skew depends on many parameters, including the selection coefficient, and time since selection. Moreover, for each of the different regimes of positive selection, informative features of the scaled SFS can be learned from simulated data and applied to population-scale variation data. Using support vector machines, we develop a test that is effective over all selection regimes. On simulated datasets, our test outperforms existing ones over the entire parameter space. We apply our test to variation data from Drosophila melanogaster populations adapted to hypoxia, and identify new loci that were missed by previous approaches, but strengthen the role of the Notch pathway in hypoxia tolerance. © 2013 Springer-Verlag.

关键词： Genome

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Authenticated secret sharing scheme based on GMEMD

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2016年 9569卷 395-405页

作者： Kuo, Wen-Chung Kuo, Shao-Hung Chang, Hong-Yi Wuu, Lih-Chyau Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Douliu Taiwan Graduate School of Engineering Science and Technology Doctoral Program National Yunlin University of Science and Technology Douliu Taiwan

ISBN: (纸本)9783319319599

In secret image sharing schemes, all legal participants provide legitimate shared images and then they can extract the correct secret message. Recently, Wu et al. proposed a high quality data hiding secret sharing scheme with authentication ability. The major contribution of this scheme maintains good stego image quality while being able to verify secret message integrity. However, to ensure the process can work, the secret image’s pixel values larger than 250 must be changed to 250 for Wu’s scheme. Otherwise, extracting the secret image may fail. In other words, for a secret image, a few errors do not make the big difference but it could be distorted severely for some sensitive secrets. In order to improve this shortcoming, a secret image sharing scheme based on General Multi-Exploiting Modification Direction (GMEMD) data hiding technology will be proposed in this paper. According to simulation results and analysis, we can show that the stego image quality in Wu et al.’s scheme or our proposed scheme is larger than 43dB. We also demonstrate the authentication capability to find unauthorized participants. Furthermore, if all participants are legitimate, then the proposed scheme can extract the secret completely without any distortion. © Springer International Publishing Switzerland 2016.

关键词： Authentication

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Literature Review of Religion Video Game

Literature Review of Religion Video Game

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2019 International Congress on Applied Information Technology, AIT 2019

作者： Wibawa, Setya Chendra Rahayu, Yuni Sri Wrahatnolo, Tri Vindy, V. Warnars, Harco Leslie Hendric Spits Hashimoto, Kiyota Universitas Negeri Surabaya Jawa Timur Informatics Department 60213 Indonesia Universitas Negeri Surabaya Jawa Timur Biology Department 60213 Indonesia Universitas Negeri Surabaya Jawa Timur Electrical Engineering Department 60213 Indonesia Game Application Technology Program School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Faculty of Technology and Environment Prince Songkla University Thailand

ISBN: (纸本)9781728158624

In this current digital era, the video game is favorite especially among young people. Besides widely known as a form of entertainment, some messages or lessons can be learned from a video game that may affect the players. Conscious or unconscious, games have influenced many sectors of life, and it has been recognized as a serious game and no exception to religion. Human as a living creature, like or dislike or even as an atheist should believe with something out there, and religion is as a medium which connects human with something out there. The game as a representation of entertaining, intelligent application will represent joy and happiness in human life's activities, and inevitably games will influence human religion. In the end, religion game will help the human to increase their faith in those their belief based on their religion. Similar to Information Technology which is implemented in business to increase revenue, the game as an entertaining intelligent application will increase human's faith. One kind of video game that provides it is religion video games which are the result of the incorporation between religion and video games. In this paper, we do a literature review about religion video games. We try to summarize how religious elements can be incorporated into a video game which can be seen from the parts, components, and approaches of the religion video game itself. We also try to summarize the positive side and controversies in religion video games. © 2019 IEEE.

关键词： Serious games

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Detection of Vehicle Position and Speed using Camera Calibration and Image Projection Methods

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Procedia computer science 2019年 157卷 255-265页

作者： Alexander A S Gunawan Deasy Aprilia Tanjung Fergyanto E. Gunawan Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480

Traffic congestion is the main problem faced by big cities, such as Jakarta. One approach to reduce congestion levels is to improve traffic management that regulates and controls the number of vehicles. To evaluate the impact of traffic management before direct implementation on the highway, traffic modeling can be carried out. Parameters in modeling traffic must be determined from a calibration process where the vehicle is accurately measured for its position and speed. This study aims to propose an efficient calibration procedure with accurate results, based on recorded vehicle movement in perspective view. First, the road image is projected using the Direct Linear Transformation (DLT) method, then the vehicle position is detected using the Background Subtraction and tracked using Mixture of Gaussian (MoG) to determine the vehicle speed. Finally, we develop a prototype of Automated Traffic Flow Monitoring based on Python programming. In the experiment results, the accuracy of vehicle position detection is evaluated based on the Euclidean distance. The average difference between the results of position detection with ground-truth is 12.07 pixels with a camera angle 40 °. The percentage of speed measurement accuracy using the DLT projection method is 96.14%.

关键词： Music recommender system Convolutional recurrent neural network Similarity distance

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Blockchain and API Development to Improve Relational Database Integrity and System Interoperability

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Procedia computer science 2023年 216卷 151-160页

作者： Andhika Naafi Ramadhan Kharisma Naufal Pane Kun Rifki Wardhana Suharjito Computer Science Department School of Computer Science Bina Nusantara University Jakarta 11480 Indonesia Industrial Engineering Department BINUS Graduate Program – Master of Industrial Engineering Bina Nusantara University Jakarta 11480 Indonesia

Technological developments have resulted in a trend of cryptocurrencies that use a technology called blockchain to create and record all transactions made into a digital ledger. Along with the emergence of the trend of cryptocurrencies, this development has also resulted in crimes that hit the digital world, such as data leakage and cyber espionage. This threat can be prevented by applying blockchain technology to the database that has been used. Therefore, we need a system that can facilitate the use of blockchain technology and can process data from an existing relational database into a blockchain-based database. The system developed in this study was built with the FastAPI framework that uses the Python programming language and the React framework that uses the Javascript programming language. This system was tested using Katalon and Wireshark software to perform throughput testing and man-in-the-middle attacks. Evaluation of this system is assessed based on the average throughput time and also the results of Wireshark packet capture. The system designed in this research is expected to help overcome interoperability problems when using blockchain and improve relational database integrity. The results of the test show that the system is safe from man-in-the-middle attacks while sending data through API and has a faster throughput time than BigchainDB system by 4.151 seconds.

关键词： Blockchai Cybercrim Database Interoperability

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Dilatometric study of ferroelectric Rb2CdI4 monoclinic crystal grown by czochralski method

Dilatometric study of ferroelectric Rb2CdI4 monoclinic cryst...

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12th International Meeting on Ferroelectricity, IMF-12 and the 18th IEEE International Symposium on Applications of Ferroelectrics, ISAF-18

作者： Yamaguchi, T. Gotou, S. Miyoshi, T. Kasano, H. Mitsui, T. Kurihama, T. Shimizu, F. Takashige, M. Department of Electrical Engineering School of Science and Engineering Meisei University Hino-shi Tokyo 191-8506 Japan Electrical Engineering Graduate School of Science and Engineering Meisei University Hino-shi Tokyo 191-8506 Japan Department of Physics Graduate School of Science and Engineering Yamaguchi University Yamaguchi-shi Yamaguchi 753-8512 Japan Laboratory of Developmental Program Faculty of Pharmaceutical Sciences Teikyo University Sagamihara-shi Kanagawa 229-0195 Japan Department of Electronics and Information Engineering College of Engineering Chubu University Kasugai-shi Aichi 487-8501 Japan Department of Electronics and Computer Science College of Science and Engineering Iwaki Meisei University Iwaki-shi Fukushima 970-8551 Japan

Crystal growth of Rb2CdI4 was performed by Czochralski method. Transparent colourless crystals with monoclinic structure were obtained. Temperature dependence of the dielectric constant along the b-axis was measured with variation of frequency. The thermal expansions x i (i = a, b, c and a′;a′ = a + c) along the four independent axes were measured both by clip-type strain-gauge dilatometer and X-ray diffraction methods. These results show distinct anomalies associated with the ferroelectric transition at TC= 210 K. Copyright © 2010 Taylor & Francis Group, LLC.

关键词： X ray diffraction

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Comparative analysis of deep learning models for detecting face mask 7

Comparative analysis of deep learning models for detecting f...

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7th International Conference on computer science and Computational Intelligence, CSCI 2022

作者： Ramadhan, M. Vickya Muchtar, Kahlil Nurdin, Yudha Oktiana, Maulisa Fitria, Maya Maulina, Novi Elwirehardja, Gregorius Natanael Pardamean, Bens Department of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Universitas Syiah Kuala Banda Aceh23111 Indonesia Microbiology Department School of Medicine Universitas Syiah Kuala Banda Aceh23111 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta 11480 Indonesia Computer Science Department BINUS Graduate Program-Master of Computer Science Program Bina Nusantara University Jakarta 11480 Indonesia

The spread of Corona Virus Disease 19 (COVID-19) in Indonesia is still relatively high and has not shown a significant decrease. One of the main reasons is due to the lack of supervision on the implementation of health protocols such as wearing masks in daily activities. Recently, state-of-The-Art algorithms were introduced to automate face mask detection. To be more specific, the researchers developed various kinds of architectures for the detection of masks based on computer vision methods. This paper aims to evaluate well-known architectures, namely the ResNet50, VGG11, InceptionV3, EfficientNetB4, and YOLO (You Only Look Once) to recommend the best approach in this specific field. By using the MaskedFace-Net dataset, the experimental results showed that the EfficientNetB4 architecture has better accuracy at 95.77% compared to the YOLOv4 architecture of 93.40%, InceptionV3 of 87.30%, YOLOv3 of 86.35%, ResNet50 of 84.41%, VGG11 of 84.38%, and YOLOv2 of 78.75%, respectively. It should be noted that particularly for YOLO, the model was trained using a collection of MaskedFace-Net images that had been pre-processed and labelled for the task. The model was initially able to train faster with pre-Trained weights from the COCO dataset thanks to transfer learning, resulting in a robust set of features expected for face mask detection and classification. © 2022 Elsevier B.V.. All rights reserved.

关键词： Face recognition

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Real-time recognition of traffic signs using opponent color filters

Real-time recognition of traffic signs using opponent color ...

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14th World Congress on Intelligent Transport Systems, ITS 2007

作者： Baba, Kyoko Hirai, Yuzo Master's Program in Graduate School of Systems and Information Engineering University of Tsukuba 1-1-1 Ten-nodai Tsukuba Ibaraki 305-8573 Japan Department of Computer Science Graduate School of Systems and Information Engineering University of Tsukuba 1-1-1 Ten-nodai Tsukuba Ibaraki 305-8573 Japan

ISBN: (纸本)9781617387777

In order to assist driver's vision, a real-time recognition system for traffic signs is proposed. After detecting sign candidates, biologically inspired opponent-color filters are used to extract symbol parts of signs. After normalizing the size of symbol, structural features are calculated to identify the sign. 5572 segmented images are used to design the algorithm. In a real-time system, the same sign in a sequence of frames is tracked, and a majority vote is used to integrate the recognition results. For test data, 93.8% recall rate and 99.3% precision rate could be attained. In-vehicle experiment also showed high recall and precision rates.

关键词： Traffic signs

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ACO with Reinforcement Learning Applied to Rescues Operations on Urban Forests 13

ACO with Reinforcement Learning Applied to Rescues Operation...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Alves, Cláudio Mendonça, Israel De Almeida Guimarães, Vanessa González, Pedro Henrique System Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan Coppead Graduate Business School Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9798350308365

In the context of smart cities where green infras-tructure is incentived, besides important benefits like regulating temperatures and absorbing pollutants among others, tour by urban forests is a way to experience closer contact with nature near of big urban centers. Eventually, visitors get lost, and helping these people with velocity is important to avoid severe incidents. Normally, rescue operations mobilize firefighters, ex-pensive equipment like helicopters and public resources. Following that idea of reducing search time in rescue operations, this paper considers the Data Mule Routing Problem with Limited Autonomy (DMRP-wLA). To find high-quality solutions, this paper proposes an Ant Colony Optimization algorithm enhanced with Reinforcement Learning to create an adaptive decision-making algorithm. © 2024 IEEE.

关键词： Ant colony optimization

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Elementary science classroom learning with wireless response devices - Implementing active and experiential learning

Elementary science classroom learning with wireless response...

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IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005

作者： Chen, Yu-Fen Liu, Chen-Chung Yu, Ming-Hung Chang, Sung-Bin Lu, Yun-Chen Chan, Tak-Wai Dept. of Computer Science Information Engineering National Central University Taiwan Graduate Institute of Network Learning Technology National Central University Taiwan Degree Program of E-Learning College of Science National Chiao Tung University Taiwan Chu-Wei Elementary School Taiwan

ISBN: (纸本)0769523854

Active learning enables learners to actively engage in learning. Learning not only transfers material to students for learning, but also encourages greater mental engagement and more extensive student-student and student-instructor interaction than does a typical lecture class. Peer Instruction (PI) engages students in active learning by achieving continuous instructor-student interaction in a physics lecture. However, the methodologies and the effectiveness of implementing PI for elementary school students have seldom been clarified. This study explores the possibility of adopting PI in an elementary science classroom. The research considerations of the study are as follows: (1) how wireless technology can enhance PI in elementary science classroom;(2) how a teacher can engage students in pre-class reading, and (3) whether elementary school students have sufficient social skills to perform a PI discussion? These questions are examined by observing how the PI pedagogical model worked with a wireless response system in elementary science classroom. Based on the observation, this study also proposes a way of improving the PI learning experience of elementary school students by adding experiments and observations during peer discussion to explain concepts and phenomena in physics. © 2005 IEEE.

关键词： Learning systems

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